Triple
T10836821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Hard |
E255779
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Darnell Lewis
Darnell Lewis is a central comedic character in the film "Get Hard," portrayed as a small-business owner who helps a wealthy, naive financier prepare for prison life.
|
E890925
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Darnell Lewis | Statement: [Get Hard, mainCharacter, Darnell Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darnell Lewis Context triple: [Get Hard, mainCharacter, Darnell Lewis]
-
A.
Darnell Dalton
Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
-
B.
Darnell Donerson
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
-
C.
Darnell Williams
Darnell Williams is an American actor best known for his long-running role as Jesse Hubbard on the soap opera "All My Children."
-
D.
Darnell Scott
Darnell Scott is a music producer best known for his work on The Notorious B.I.G.’s landmark debut album "Ready to Die."
-
E.
Darnell Turner
Darnell Turner is a laid-back, enigmatic friend of Earl Hickey on the sitcom "My Name Is Earl," known for his secretive past and unexpectedly wise demeanor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Darnell Lewis Triple: [Get Hard, mainCharacter, Darnell Lewis]
Generated description
Darnell Lewis is a central comedic character in the film "Get Hard," portrayed as a small-business owner who helps a wealthy, naive financier prepare for prison life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darnell Lewis Target entity description: Darnell Lewis is a central comedic character in the film "Get Hard," portrayed as a small-business owner who helps a wealthy, naive financier prepare for prison life.
-
A.
Darnell Dalton
Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
-
B.
Darnell Donerson
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
-
C.
Darnell Williams
Darnell Williams is an American actor best known for his long-running role as Jesse Hubbard on the soap opera "All My Children."
-
D.
Darnell Scott
Darnell Scott is a music producer best known for his work on The Notorious B.I.G.’s landmark debut album "Ready to Die."
-
E.
Darnell Turner
Darnell Turner is a laid-back, enigmatic friend of Earl Hickey on the sitcom "My Name Is Earl," known for his secretive past and unexpectedly wise demeanor.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7c739708190b0d58fc2d6392c6c |
completed | April 15, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69e0026e7900819087327db5f625169c |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e0057a7704819096becb74dc261883 |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:19 p.m.